Arterial pulse wave velocity in coronary arteries. - Jazmin Aguado-Sierra; Kim H. Parker; Justin E. Davies; Darrel P. Francis; Alun D. Hughes; Jamil Mayet (EMBC, 2006)

Wave intensity analysis and the development of the reservoir-wave approach. - John V. Tyberg; Justin E. Davies; Zhibin Wang; William A. Whitelaw; Jacqueline A. Flewitt; Nigel G. Shrive; Darrel P. Francis; Alun D. Hughes; Kim H. Parker; Jiun-Jr Wang (Medical Biol. Eng. Comput., 2009)

Patient-Specific Coronary Stenoses Can Be Modeled Using a Combination of OCT and Flow Velocities to Accurately Predict Hyperemic Pressure Gradients. - C. A. Kousera; Sukhjinder Nijjer; Ryo Torii; R. Petraco; S. Sen; N. Foin; Alun D. Hughes; Darrel P. Francis; X. Yun Xu; Justin E. Davies (IEEE Trans. Biomed. Eng., 2014)

Automated Aortic Doppler Flow Tracing for Reproducible Research and Clinical Measurements. - Massoud Zolgharni; Niti M. Dhutia; Graham D. Cole; M. Reza Bahmanyar; Siana Jones; Syed M. Afzal Sohaib; Sarah B. Tai; Keith Willson; Judith A. Finegold; Darrel P. Francis (IEEE Trans. Medical Imaging, 2014)

Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning. - Neda Azarmehr; Xujiong Ye; Stefania Sacchi; James P. Howard 001; Darrel P. Francis; Massoud Zolgharni (MIUA, 2019)

An optimisation-based iterative approach for speckle tracking echocardiography. - Neda Azarmehr; Xujiong Ye; Joseph D. Howes; Benjamin Docking; James P. Howard 001; Darrel P. Francis; Massoud Zolgharni (Medical Biol. Eng. Comput., 2020)

Multibeat echocardiographic phase detection using deep neural networks. - Elisabeth S. Lane; Neda Azarmehr; Jevgeni Jevsikov; James P. Howard 001; Matthew J. Shun-Shin; Graham D. Cole; Darrel P. Francis; Massoud Zolgharni (Comput. Biol. Medicine, 2021)

ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study. - Henrique De Melo Ribeiro; Ahran Arnold; James P. Howard 001; Matthew J. Shun-Shin; Ying Zhang; Darrel P. Francis; Phang Boon Lim; Zachary Whinnett; Massoud Zolgharni (Comput. Biol. Medicine, 2022)

Deep Active Learning for Left Ventricle Segmentation in Echocardiography. - Eman Alajrami; Preshen Naidoo; Jevgeni Jevsikov; Elisabeth S. Lane; Jamie Pordoy; Nasim Dadashi Serej; Neda Azarmehr; Fateme Dinmohammadi; Matthew J. Shun-Shin; Darrel P. Francis; Massoud Zolgharni (FIMH, 2023)

Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. - Jevgeni Jevsikov; Elisabeth S. Lane; Eman Alajrami; Preshen Naidoo; Nasim Dadashi Serej; Neda Azarmehr; Sama Aleshaiker; Catherine C. Stowell; Matthew J. Shun-Shin; Darrel P. Francis; Massoud Zolgharni (FIMH, 2023)

Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks. - Elisabeth S. Lane; Jevgeni Jevsikov; Matthew J. Shun-Shin; Niti M. Dhutia; Nasser Matoorian; Graham D. Cole; Darrel P. Francis; Massoud Zolgharni (Medical Biol. Eng. Comput., 2023)

Automated mitral inflow Doppler peak velocity measurement using deep learning. - Jevgeni Jevsikov; Tiffany Ng; Elisabeth S. Lane; Eman Alajrami; Preshen Naidoo; Patricia Fernandes; Joban S. Sehmi; Maysaa Alzetani; Camelia D. Demetrescu; Neda Azarmehr; Nasim Dadashi Serej; Catherine C. Stowell; et al. (Comput. Biol. Medicine, 2024)

Active learning for left ventricle segmentation in echocardiography. - Eman Alajrami; Tiffany Ng; Jevgeni Jevsikov; Preshen Naidoo; Patricia Fernandes; Neda Azarmehr; Fateme Dinmohammadi; Matthew J. Shun-Shin; Nasim Dadashi Serej; Darrel P. Francis; Massoud Zolgharni (Comput. Methods Programs Biomed., 2024)